Beta to Theta Power Ratio in EEG Periodic Components as a Potential Biomarker in Mild Cognitive Impairment and Alzheimer's Dementia

Alzheimer’s Disease Research and Treatment Frontiers: Beta/Theta Power Ratio in EEG Periodic Components as a Potential Biomarker Background Introduction Alzheimer’s dementia (AD) is a progressively developing disease, accounting for 60% to 80% of all dementia cases [1]. In the early stages of AD, mild cognitive impairment (MCI) typically occurs, du...

Yield of Non-Invasive Imaging in MRI-Negative Focal Epilepsy

Clinical Utility of Non-invasive Imaging in MRI-negative Focal Epilepsy Academic Background Epilepsy surgery is a crucial treatment modality for drug-resistant epilepsy. However, the likelihood of achieving good outcomes postoperatively is significantly diminished when Magnetic Resonance Imaging (MRI) fails to detect lesions. Previous studies indic...

Modulating the Difficulty of a Visual Oddball-like Task and P3m Amplitude

Modulation of P3m Amplitude by Task Difficulty in a Visual Oddball Task Background In cognitive neuroscience research, Event-Related Potentials (ERP) and Event-Related Fields (ERF) are important means to explore the cognitive processing mechanisms of the brain. Among these, the P3 component (referred to as P3m in magnetoencephalography) has garnere...

Neurophysiological Study of Orientation Discrimination in a Working Memory Task

Neurophysiological Study: Neurophysiological Research on Orientation Discrimination in a Working Memory Task Background Recognizing and remembering the spatial orientation of the environment is a crucial component of visuospatial behavior. Accurately storing and recalling this information helps us navigate in space and respond adaptively to rapid c...

Theta Oscillations Support Prefrontal-Hippocampal Interactions in Sequential Working Memory

Study on Theta Oscillations in Hippocampus-Prefrontal Interaction Supporting Sequential Working Memory Academic Background The dorsolateral prefrontal cortex (DLPFC) and the hippocampus play crucial roles in sequential working memory, but the specific interaction mechanisms are not yet clear. Previous studies have shown that these two brain regions...

Deep-Learning-Based Motor Imagery EEG Classification by Exploiting the Functional Connectivity of Cortical Source Imaging

Deep-learning-based Motor Imagery EEG Classification by Exploiting the Functional Connectivity of Cortical Source Imaging Research Background and Motivation A brain-computer interface (BCI) is a system that directly decodes and outputs brain activity information without relying on related neural pathways and muscles, thereby achieving communication...